Start » Filter Reference » Image » Image Point Transforms » RescalePixels
Basic| Module: | FoundationLite |
|---|
Applies linear transformation to pixel values.
| Name | Type | Description | |
|---|---|---|---|
 |
inImage | Image | Input image |
|
inRoi | Region* | Range of pixels to be processed |
|
inA | Real | Value multiplied |
|
inB | Real | Value added |
 |
outImage | Image | Output image |
Description
The operation applies linear transformation to pixel values.
\[{\forall _{i,j} }{\bf{outImag} }{ {\bf{e} }_{ {\rm{i} },{\rm{j} } } }{\rm{ = } }{\bf{inA} }\cdot{\bf{inImag} }{ {\bf{e} }_{ {\rm{i} },{\rm{j} } } }{\rm{ + } }{\bf{inB} }\]
Whenever the resulting value exceeds the range of pixel values, it is clipped to the nearest proper value.
Hardware Acceleration
This operation is optimized for SSE2 technology for pixels of types: UINT8, SINT8, SINT16, REAL.
This operation supports automatic parallelization for multicore and multiprocessor systems.
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
List of possible exceptions:
| Error type | Description |
|---|---|
| DomainError | Region exceeds an input image in RescalePixels. |
Complexity Level
This filter is available on Basic Complexity Level.
See Also
- ResaturateImage – Sets pixels below the low value to minimum, above the high value to maximum, and interpolates the rest.
- AddToImage – Adds a scalar value to each pixel.
- NormalizeImage – Rescales an image linearly, so that its minimum becomes inNewMinimum and the maximum of the remaining pixels becomes inNewMaximum.